Diabetes data Profiling Report 3

Dataset statistics

Number of variables	21
Number of observations	2328
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	252
Duplicate rows (%)	10.8%
Total size in memory	382.1 KiB
Average record size in memory	168.1 B

Variable types

Numeric	13
Categorical	8

Alerts

Dataset has 252 (10.8%) duplicate rows	Duplicates
`pc` is highly correlated with `fc`	High correlation
`three_g` is highly correlated with `four_g`	High correlation
`fc` is highly correlated with `pc`	High correlation
`four_g` is highly correlated with `three_g`	High correlation
`price_range` is highly correlated with `ram`	High correlation
`ram` is highly correlated with `price_range`	High correlation
`px_width` is highly correlated with `px_height`	High correlation
`sc_h` is highly correlated with `sc_w`	High correlation
`sc_w` is highly correlated with `sc_h`	High correlation
`px_height` is highly correlated with `px_width`	High correlation
`pc` has 112 (4.8%) zeros	Zeros
`sc_w` has 207 (8.9%) zeros	Zeros
`fc` has 570 (24.5%) zeros	Zeros

Reproduction

Analysis started	2022-09-27 03:26:19.515975
Analysis finished	2022-09-27 03:27:16.668709
Duration	57.15 seconds
Software version	pandas-profiling v3.3.1
Download configuration	config.json

talk_time
Real number (ℝ_≥0)

Distinct	19
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.99957045

Minimum	2
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	6
median	11
Q3	16
95-th percentile	19
Maximum	20
Range	18
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.419132398
Coefficient of variation (CV)	0.4926676386
Kurtosis	-1.205827699
Mean	10.99957045
Median Absolute Deviation (MAD)	5
Skewness	0.01192690442
Sum	25607
Variance	29.36699595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
7	150	6.4%
4	147	6.3%
15	140	6.0%
6	138	5.9%
16	135	5.8%
11	126	5.4%
19	125	5.4%
10	123	5.3%
13	123	5.3%
12	119	5.1%
Other values (9)	1002	43.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	111	4.8%
3	103	4.4%
4	147	6.3%
5	105	4.5%
6	138	5.9%
7	150	6.4%
8	117	5.0%
9	109	4.7%
10	123	5.3%
11	126	5.4%

Value	Count	Frequency (%)
20	115	4.9%
19	125	5.4%
18	118	5.1%
17	110	4.7%
16	135	5.8%
15	140	6.0%
14	114	4.9%
13	123	5.3%
12	119	5.1%
11	126	5.4%

battery_power
Real number (ℝ_≥0)

Distinct	1084
Distinct (%)	46.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1242.35567

Minimum	501
Maximum	1998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	501
5-th percentile	571
Q1	851.75
median	1239.5
Q3	1614
95-th percentile	1934.65
Maximum	1998
Range	1497
Interquartile range (IQR)	762.25

Descriptive statistics

Standard deviation	438.6749834
Coefficient of variation (CV)	0.3530993531
Kurtosis	-1.213052522
Mean	1242.35567
Median Absolute Deviation (MAD)	380
Skewness	0.01240785486
Sum	2892204
Variance	192435.7411
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
832	9	0.4%
1949	7	0.3%
1589	7	0.3%
1905	6	0.3%
1154	6	0.3%
1083	6	0.3%
1281	6	0.3%
659	6	0.3%
1569	6	0.3%
793	6	0.3%
Other values (1074)	2263	97.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
501	2	0.1%
502	2	0.1%
503	3	0.1%
504	5	0.2%
506	2	0.1%
507	3	0.1%
508	3	0.1%
509	1	< 0.1%
510	4	0.2%
511	4	0.2%

Value	Count	Frequency (%)
1998	1	< 0.1%
1997	2	0.1%
1996	2	0.1%
1995	5	0.2%
1994	3	0.1%
1993	1	< 0.1%
1992	4	0.2%
1991	4	0.2%
1989	5	0.2%
1988	1	< 0.1%

pc
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	21
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.932560137

Minimum	0
Maximum	20
Zeros	112
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	10
Q3	15
95-th percentile	20
Maximum	20
Range	20
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	6.081752595
Coefficient of variation (CV)	0.6123046335
Kurtosis	-1.185576505
Mean	9.932560137
Median Absolute Deviation (MAD)	5
Skewness	0.01870223981
Sum	23123
Variance	36.98771463
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
10	135	5.8%
7	134	5.8%
20	131	5.6%
1	131	5.6%
9	125	5.4%
17	120	5.2%
4	117	5.0%
14	115	4.9%
0	112	4.8%
15	112	4.8%
Other values (11)	1096	47.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	112	4.8%
1	131	5.6%
2	109	4.7%
3	104	4.5%
4	117	5.0%
5	75	3.2%
6	111	4.8%
7	134	5.8%
8	110	4.7%
9	125	5.4%

Value	Count	Frequency (%)
20	131	5.6%
19	99	4.3%
18	89	3.8%
17	120	5.2%
16	105	4.5%
15	112	4.8%
14	115	4.9%
13	108	4.6%
12	97	4.2%
11	89	3.8%

three_g
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.3 KiB

1	1786
0	542

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2328
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	1786	76.7%
0	542	23.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	1786	76.7%
0	542	23.3%

Most occurring characters

Value	Count	Frequency (%)
1	1786	76.7%
0	542	23.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2328	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1786	76.7%
0	542	23.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2328	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1786	76.7%
0	542	23.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2328	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1786	76.7%
0	542	23.3%

mobile_wt
Real number (ℝ_≥0)

Distinct	121
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	140.1782646

Minimum	80
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	80
5-th percentile	86
Q1	109
median	141
Q3	170
95-th percentile	196
Maximum	200
Range	120
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	35.41956163
Coefficient of variation (CV)	0.2526751328
Kurtosis	-1.220410599
Mean	140.1782646
Median Absolute Deviation (MAD)	31
Skewness	0.01723939147
Sum	326335
Variance	1254.545346
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
101	36	1.5%
182	33	1.4%
199	32	1.4%
105	31	1.3%
198	30	1.3%
114	29	1.2%
88	28	1.2%
146	28	1.2%
103	27	1.2%
160	26	1.1%
Other values (111)	2028	87.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
80	26	1.1%
81	13	0.6%
82	15	0.6%
83	22	0.9%
84	23	1.0%
85	14	0.6%
86	20	0.9%
87	16	0.7%
88	28	1.2%
89	26	1.1%

Value	Count	Frequency (%)
200	22	0.9%
199	32	1.4%
198	30	1.3%
197	24	1.0%
196	21	0.9%
195	11	0.5%
194	17	0.7%
193	17	0.7%
192	20	0.9%
191	18	0.8%

px_width
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1093
Distinct (%)	47.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1249.602234

Minimum	500
Maximum	1998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	500
5-th percentile	574
Q1	874
median	1243.5
Q3	1621.25
95-th percentile	1931.65
Maximum	1998
Range	1498
Interquartile range (IQR)	747.25

Descriptive statistics

Standard deviation	432.6186619
Coefficient of variation (CV)	0.3462050965
Kurtosis	-1.179500172
Mean	1249.602234
Median Absolute Deviation (MAD)	371.5
Skewness	0.01320566552
Sum	2909074
Variance	187158.9066
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1767	9	0.4%
1429	9	0.4%
1247	8	0.3%
1564	7	0.3%
519	7	0.3%
1963	7	0.3%
874	7	0.3%
1383	7	0.3%
1923	6	0.3%
1666	6	0.3%
Other values (1083)	2255	96.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
500	4	0.2%
501	2	0.1%
503	1	< 0.1%
506	1	< 0.1%
507	4	0.2%
508	1	< 0.1%
509	2	0.1%
510	3	0.1%
511	2	0.1%
512	2	0.1%

Value	Count	Frequency (%)
1998	1	< 0.1%
1997	1	< 0.1%
1996	2	0.1%
1995	4	0.2%
1994	2	0.1%
1992	1	< 0.1%
1991	1	< 0.1%
1990	2	0.1%
1989	4	0.2%
1988	5	0.2%

sc_h
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.36340206

Minimum	5
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	5
5-th percentile	6
Q1	9
median	13
Q3	16
95-th percentile	19
Maximum	19
Range	14
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.236283097
Coefficient of variation (CV)	0.3426470381
Kurtosis	-1.194019328
Mean	12.36340206
Median Absolute Deviation (MAD)	4
Skewness	-0.1150917925
Sum	28782
Variance	17.94609448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
17	223	9.6%
7	178	7.6%
12	177	7.6%
14	173	7.4%
16	167	7.2%
15	157	6.7%
19	153	6.6%
11	150	6.4%
13	148	6.4%
9	147	6.3%
Other values (5)	655	28.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	116	5.0%
6	127	5.5%
7	178	7.6%
8	131	5.6%
9	147	6.3%
10	135	5.8%
11	150	6.4%
12	177	7.6%
13	148	6.4%
14	173	7.4%

Value	Count	Frequency (%)
19	153	6.6%
18	146	6.3%
17	223	9.6%
16	167	7.2%
15	157	6.7%
14	173	7.4%
13	148	6.4%
12	177	7.6%
11	150	6.4%
10	135	5.8%

sc_w
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	19
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.775343643

Minimum	0
Maximum	18
Zeros	207
Zeros (%)	8.9%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	9
95-th percentile	14
Maximum	18
Range	18
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.34391259
Coefficient of variation (CV)	0.7521478996
Kurtosis	-0.4029924249
Mean	5.775343643
Median Absolute Deviation (MAD)	3
Skewness	0.6272644787
Sum	13445
Variance	18.86957659
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
1	248	10.7%
3	225	9.7%
4	219	9.4%
0	207	8.9%
5	196	8.4%
2	173	7.4%
6	157	6.7%
7	147	6.3%
8	143	6.1%
10	129	5.5%
Other values (9)	484	20.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	207	8.9%
1	248	10.7%
2	173	7.4%
3	225	9.7%
4	219	9.4%
5	196	8.4%
6	157	6.7%
7	147	6.3%
8	143	6.1%
9	113	4.9%

Value	Count	Frequency (%)
18	7	0.3%
17	23	1.0%
16	32	1.4%
15	40	1.7%
14	39	1.7%
13	55	2.4%
12	83	3.6%
11	92	4.0%
10	129	5.5%
9	113	4.9%

m_dep
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.3 KiB

0	2206
1	122

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2328
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2206	94.8%
1	122	5.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	2206	94.8%
1	122	5.2%

Most occurring characters

Value	Count	Frequency (%)
0	2206	94.8%
1	122	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2328	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2206	94.8%
1	122	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2328	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2206	94.8%
1	122	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2328	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2206	94.8%
1	122	5.2%

touch_screen
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.3 KiB

1	1176
0	1152

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2328
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	1176	50.5%
0	1152	49.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	1176	50.5%
0	1152	49.5%

Most occurring characters

Value	Count	Frequency (%)
1	1176	50.5%
0	1152	49.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2328	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1176	50.5%
0	1152	49.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2328	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1176	50.5%
0	1152	49.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2328	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1176	50.5%
0	1152	49.5%

fc
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	20
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.282646048

Minimum	0
Maximum	19
Zeros	570
Zeros (%)	24.5%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	7
95-th percentile	13
Maximum	19
Range	19
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.351548826
Coefficient of variation (CV)	1.016088833
Kurtosis	0.3591731713
Mean	4.282646048
Median Absolute Deviation (MAD)	3
Skewness	1.044043135
Sum	9970
Variance	18.93597718
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	570	24.5%
1	273	11.7%
2	214	9.2%
3	203	8.7%
5	160	6.9%
4	156	6.7%
6	138	5.9%
7	112	4.8%
8	90	3.9%
9	85	3.7%
Other values (10)	327	14.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	570	24.5%
1	273	11.7%
2	214	9.2%
3	203	8.7%
4	156	6.7%
5	160	6.9%
6	138	5.9%
7	112	4.8%
8	90	3.9%
9	85	3.7%

Value	Count	Frequency (%)
19	1	< 0.1%
18	14	0.6%
17	10	0.4%
16	29	1.2%
15	25	1.1%
14	23	1.0%
13	39	1.7%
12	52	2.2%
11	66	2.8%
10	68	2.9%

four_g
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.3 KiB

1	1232
0	1096

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2328
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	1232	52.9%
0	1096	47.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	1232	52.9%
0	1096	47.1%

Most occurring characters

Value	Count	Frequency (%)
1	1232	52.9%
0	1096	47.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2328	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1232	52.9%
0	1096	47.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	2328	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1232	52.9%
0	1096	47.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2328	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1232	52.9%
0	1096	47.1%

price_range
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	18.3 KiB

3	593
1	582
2	577
0	576

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2328
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	0
3rd row	0
4th row	2
5th row	0

Common Values

Value	Count	Frequency (%)
3	593	25.5%
1	582	25.0%
2	577	24.8%
0	576	24.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	593	25.5%
1	582	25.0%
2	577	24.8%
0	576	24.7%

Most occurring characters

Value	Count	Frequency (%)
3	593	25.5%
1	582	25.0%
2	577	24.8%
0	576	24.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2328	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	593	25.5%
1	582	25.0%
2	577	24.8%
0	576	24.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	2328	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	593	25.5%
1	582	25.0%
2	577	24.8%
0	576	24.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2328	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	593	25.5%
1	582	25.0%
2	577	24.8%
0	576	24.7%

blue
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.3 KiB

0	1199
1	1129

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2328
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	1199	51.5%
1	1129	48.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1199	51.5%
1	1129	48.5%

Most occurring characters

Value	Count	Frequency (%)
0	1199	51.5%
1	1129	48.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2328	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1199	51.5%
1	1129	48.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2328	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1199	51.5%
1	1129	48.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2328	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1199	51.5%
1	1129	48.5%

n_cores
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.522766323

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	7
95-th percentile	8
Maximum	8
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.280953195
Coefficient of variation (CV)	0.5043270053
Kurtosis	-1.220876308
Mean	4.522766323
Median Absolute Deviation (MAD)	2
Skewness	-0.01285401251
Sum	10529
Variance	5.20274748
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
4	315	13.5%
7	307	13.2%
5	292	12.5%
3	288	12.4%
8	288	12.4%
1	288	12.4%
6	276	11.9%
2	274	11.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	288	12.4%
2	274	11.8%
3	288	12.4%
4	315	13.5%
5	292	12.5%
6	276	11.9%
7	307	13.2%
8	288	12.4%

Value	Count	Frequency (%)
8	288	12.4%
7	307	13.2%
6	276	11.9%
5	292	12.5%
4	315	13.5%
3	288	12.4%
2	274	11.8%
1	288	12.4%

wifi
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.3 KiB

1	1187
0	1141

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2328
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	1187	51.0%
0	1141	49.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	1187	51.0%
0	1141	49.0%

Most occurring characters

Value	Count	Frequency (%)
1	1187	51.0%
0	1141	49.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2328	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1187	51.0%
0	1141	49.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2328	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1187	51.0%
0	1141	49.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2328	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1187	51.0%
0	1141	49.0%

dual_sim
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.3 KiB

1	1192
0	1136

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2328
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	1192	51.2%
0	1136	48.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	1192	51.2%
0	1136	48.8%

Most occurring characters

Value	Count	Frequency (%)
1	1192	51.2%
0	1136	48.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2328	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1192	51.2%
0	1136	48.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	2328	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1192	51.2%
0	1136	48.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2328	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1192	51.2%
0	1136	48.8%

ram
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1542
Distinct (%)	66.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2125.13488

Minimum	256
Maximum	3998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	256
5-th percentile	455.35
Q1	1205.75
median	2131.5
Q3	3064.5
95-th percentile	3833.65
Maximum	3998
Range	3742
Interquartile range (IQR)	1858.75

Descriptive statistics

Standard deviation	1084.93579
Coefficient of variation (CV)	0.5105256143
Kurtosis	-1.191227674
Mean	2125.13488
Median Absolute Deviation (MAD)	927.5
Skewness	0.01959967035
Sum	4947314
Variance	1177085.668
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2227	7	0.3%
2243	6	0.3%
2334	6	0.3%
2844	6	0.3%
1886	5	0.2%
2107	5	0.2%
1851	5	0.2%
2822	5	0.2%
1595	5	0.2%
3704	5	0.2%
Other values (1532)	2273	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
256	1	< 0.1%
258	2	0.1%
259	1	< 0.1%
262	1	< 0.1%
263	1	< 0.1%
265	1	< 0.1%
267	1	< 0.1%
273	1	< 0.1%
277	1	< 0.1%
278	4	0.2%

Value	Count	Frequency (%)
3998	1	< 0.1%
3996	1	< 0.1%
3993	3	0.1%
3991	2	0.1%
3990	1	< 0.1%
3984	1	< 0.1%
3978	1	< 0.1%
3971	3	0.1%
3970	2	0.1%
3969	1	< 0.1%

int_memory
Real number (ℝ_≥0)

Distinct	63
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.30412371

Minimum	2
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	16
median	32
Q3	48
95-th percentile	61
Maximum	64
Range	62
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	18.14292538
Coefficient of variation (CV)	0.5616287736
Kurtosis	-1.212610937
Mean	32.30412371
Median Absolute Deviation (MAD)	16
Skewness	0.03888900439
Sum	75204
Variance	329.1657415
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	55	2.4%
27	53	2.3%
57	51	2.2%
7	49	2.1%
42	49	2.1%
14	48	2.1%
6	47	2.0%
23	45	1.9%
30	45	1.9%
41	45	1.9%
Other values (53)	1841	79.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	43	1.8%
3	29	1.2%
4	25	1.1%
5	39	1.7%
6	47	2.0%
7	49	2.1%
8	44	1.9%
9	42	1.8%
10	43	1.8%
11	35	1.5%

Value	Count	Frequency (%)
64	38	1.6%
63	39	1.7%
62	23	1.0%
61	34	1.5%
60	29	1.2%
59	20	0.9%
58	40	1.7%
57	51	2.2%
56	38	1.6%
55	31	1.3%

px_height
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1125
Distinct (%)	48.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	645.7276632

Minimum	0
Maximum	1960
Zeros	2
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	0
5-th percentile	68
Q1	290
median	570
Q3	938
95-th percentile	1497.6
Maximum	1960
Range	1960
Interquartile range (IQR)	648

Descriptive statistics

Standard deviation	442.6292723
Coefficient of variation (CV)	0.6854736098
Kurtosis	-0.2235976414
Mean	645.7276632
Median Absolute Deviation (MAD)	312.5
Skewness	0.6937364705
Sum	1503254
Variance	195920.6727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
347	8	0.3%
179	8	0.3%
730	8	0.3%
344	8	0.3%
311	7	0.3%
526	7	0.3%
710	7	0.3%
650	7	0.3%
56	7	0.3%
286	7	0.3%
Other values (1115)	2254	96.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.1%
1	1	< 0.1%
2	1	< 0.1%
3	2	0.1%
4	4	0.2%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	2	0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
1960	1	< 0.1%
1949	1	< 0.1%
1920	1	< 0.1%
1914	3	0.1%
1901	1	< 0.1%
1899	1	< 0.1%
1895	1	< 0.1%
1878	1	< 0.1%
1874	1	< 0.1%
1869	2	0.1%

clock_speed
Real number (ℝ_≥0)

Distinct	26
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.514819588

Minimum	0.5
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.3 KiB

Quantile statistics

Minimum	0.5
5-th percentile	0.5
Q1	0.7
median	1.5
Q3	2.2
95-th percentile	2.8
Maximum	3
Range	2.5
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	0.8117737835
Coefficient of variation (CV)	0.5358880953
Kurtosis	-1.317016443
Mean	1.514819588
Median Absolute Deviation (MAD)	0.8
Skewness	0.1868488543
Sum	3526.5
Variance	0.6589766756
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0.5	483	20.7%
2.8	96	4.1%
2.1	93	4.0%
2.3	89	3.8%
1.6	86	3.7%
0.6	85	3.7%
2.5	82	3.5%
1.4	82	3.5%
1	78	3.4%
1.5	78	3.4%
Other values (16)	1076	46.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.5	483	20.7%
0.6	85	3.7%
0.7	69	3.0%
0.8	70	3.0%
0.9	69	3.0%
1	78	3.4%
1.1	63	2.7%
1.2	67	2.9%
1.3	77	3.3%
1.4	82	3.5%

Value	Count	Frequency (%)
3	30	1.3%
2.9	68	2.9%
2.8	96	4.1%
2.7	64	2.7%
2.6	63	2.7%
2.5	82	3.5%
2.4	76	3.3%
2.3	89	3.8%
2.2	67	2.9%
2.1	93	4.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	talk_time	battery_power	pc	three_g	mobile_wt	px_width	sc_h	sc_w	touch_screen	fc	four_g	price_range	blue	n_cores	wifi	dual_sim	ram	int_memory	px_height	clock_speed
0	11	911	4	0	199	1692	16	3	1	3	0	3	0	4	0	1	2933	14	1563	1.4
1	14	1698	20	1	160	994	13	3	0	5	1	0	0	6	1	0	796	18	363	2.1
2	9	1438	6	1	176	1663	19	13	1	0	1	0	0	7	1	0	869	32	683	2.2
3	19	904	11	1	112	1014	13	3	0	10	1	2	1	3	0	1	2814	31	657	1.2
4	13	1049	17	0	135	1077	11	3	0	9	0	0	1	5	0	0	1022	63	199	2.2
5	19	1722	19	0	88	1638	5	1	0	7	0	3	1	6	1	0	2376	25	1179	1.0
6	4	713	9	1	181	1378	10	6	1	7	1	0	1	8	1	0	485	2	1211	1.6
7	7	1802	16	1	116	963	10	9	1	8	0	2	1	5	0	1	1885	27	453	1.2
8	11	1067	15	1	122	1989	16	14	0	3	1	0	1	8	0	1	604	40	494	2.4
9	7	1023	8	1	153	1985	11	10	1	2	1	3	1	7	1	0	3155	63	367	0.7

Last rows

	talk_time	battery_power	pc	three_g	mobile_wt	px_width	sc_h	sc_w	touch_screen	fc	four_g	price_range	blue	n_cores	wifi	dual_sim	ram	int_memory	px_height	clock_speed
2318	18	1653	6	1	176	1785	19	4	1	2	1	3	0	4	1	1	3955	37	447	0.5
2319	19	1824	14	1	103	1105	12	2	1	9	1	3	1	1	0	1	3958	2	50	1.9
2320	12	742	14	0	190	1359	16	11	1	4	0	3	0	7	1	1	3557	56	577	2.2
2321	4	1731	18	1	163	1988	5	1	1	4	1	3	1	6	1	1	3892	4	809	1.4
2322	14	1979	1	0	165	1630	13	6	1	0	0	0	1	7	0	1	452	32	833	1.6
2323	20	1652	5	0	89	1264	12	8	0	1	0	2	1	4	0	1	2338	36	313	1.1
2324	16	1261	9	1	86	1429	9	3	0	3	1	1	0	2	1	0	1365	52	605	0.5
2325	15	835	7	1	101	1604	13	5	1	2	0	0	0	4	1	1	1181	7	323	1.1
2326	2	947	13	1	197	1220	16	12	0	0	1	2	0	2	0	1	2842	22	1176	0.8
2327	12	1218	14	0	150	1746	10	0	0	3	0	1	1	7	0	1	1667	39	1122	2.8

Most frequently occurring

	talk_time	battery_power	pc	three_g	mobile_wt	px_width	sc_h	sc_w	touch_screen	fc	four_g	price_range	blue	n_cores	wifi	dual_sim	ram	int_memory	px_height	clock_speed	# duplicates
1	2	659	7	1	110	1929	15	5	0	6	1	1	0	3	1	0	2044	6	1054	2.7	3
4	2	947	13	1	197	1220	16	12	0	0	1	2	0	2	0	1	2842	22	1176	0.8	3
9	2	1934	17	1	103	1299	13	9	1	0	1	3	1	1	1	1	2940	46	619	2.6	3
10	3	612	7	0	102	1891	8	4	0	6	0	3	1	7	0	1	3161	16	1360	1.9	3
13	3	1526	8	1	117	751	18	10	1	1	1	2	0	7	0	0	2227	23	718	2.1	3
15	3	1559	17	1	162	1559	9	1	1	6	1	3	1	6	1	1	3352	6	179	1.6	3
18	4	605	16	1	142	1026	15	6	0	8	1	0	0	3	0	0	392	9	160	1.0	3
20	4	685	10	0	93	648	14	8	0	2	0	0	0	7	1	0	728	29	433	0.5	3
21	4	730	2	1	89	1247	19	15	1	0	1	0	0	8	1	1	1210	4	302	2.1	3
22	4	765	1	1	115	1429	11	7	0	0	1	2	0	8	1	1	2243	47	1277	0.5	3

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII